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Descriptions of Variables with the Largest Influence on Mobility

In document 2020_Herron.pdf (Page 73-78)

Descriptions of Variables with the Largest Influence on Mobility

Appendix I: Descriptions of Variables with the Largest Influence on Mobility

Source: Opportunity Insights. (n.d.) Geography of Mobility: County Intergenerational Mobility Statistics and Selected Covariates. https://opportunityinsights.org/data/

Category Variable Description

Segregation

Racial Segregation

Multi-group Theil Index calculated at the census-tract level over four groups: White alone, Black alone, Hispanic, and Other (“Theil Index,” 2016). 0 represents no racial segregation and higher numbers represent a higher level of segregation.

Income Segregation

Rank-Order index estimated at the census-tract level using equation (13) in Reardon (2011); the δ vector is given in Appendix A4 of

Reardon's paper. H(pk) is computed for each of

the income brackets given in the 2000 census. Income Inequality Gini Coefficient

The Gini coefficient is a statistical

measurement of inequality that is calculated by analyzing the wealth distribution of a certain region.

Education Quality

School Expenditure per Student

Average expenditures per student in public schools

Student Teacher Ratio Average student-teacher ratio in public schools

Institutions of Social Capital

Social Capital Index

Institutions of social capital will be calculated through the use of the social capital index, developed by Rupasingha and Goetz (2008), which analyzes voter turnout rates, the fraction of people who return their census forms, and various other measures of community participation (Chetty et al., 2014). Fraction Religious Share of religious adherents Family Structure Fraction of Children

with Single Mothers

Number of single female households with children divided by total number of households with children

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